23 results about "Integrated database" patented technology

The invention discloses a bacterial selenoprotein online resource platform, an application method, a terminal and a medium, and relates to the technical field of biological medicine, the online resource platform is deployed on a server, the cloud server is a Ubuntu cloud server, and Nginx, Waitpress and Flask are configured; the server side is in butt joint with a background resource, and the background resource is in butt joint with the constructed bacterial selenoprotein database; the server is in butt joint with a user interface of the front end, the user interface designs a corresponding interface framework and an interaction function based on static resources hosted by Nginx, and the interaction function is used for realizing query, analysis and use of relevant information of the bacterial selenoprotein. According to the method, a convenient online access channel of an integrated database and a real-time data analysis tool are provided for users in related fields, and important support is provided for accurate annotation of selenoprotein genes in a bacterial genome plan.

A system is provided.SOLUTION: A generative AI model means for analyzing the optimal matching between the crew and the shops by using the integrated database, a means for generating an optimal manpower allocation scheme based on the analysis result, a means for notifying the staff of the manpower allocation scheme based on the characteristics of the crew and the characteristics of the shops, and a means for collecting feedback information on the manpower allocation scheme; Means for updating the generative AI model to reflect the collected feedback in a next placement proposal.SELECTED DRAWING: Figure 1

The invention relates to the technical field of mine engineering, in particular to a mine multi-specialty drawing data collaborative management method based on a space-time integrated database, which comprises the following steps: acquiring data of each specialty department of a mine, acquiring an original drawing data set, preprocessing, designing and constructing a data model taking a space-time dimension as a core, and establishing a data model; the method comprises the following steps of: establishing an efficient primary key index and a spatial index, managing the drawing data through a version control mechanism, creating a unique version number and storing a modification record, and providing a space-time condition query interface and a visual display function, so as to efficiently store and manage the drawing data in a space-time integrated database, mapping and importing the data into the database, and establishing an efficient primary key index and a spatial index; and automatically generating a final collaborative management report in combination with the version history and the conflict resolution record. The invention provides an efficient and traceable drawing data collaborative management method, which can effectively solve the problem of collaborative work among a plurality of professional fields and improve the data management efficiency and the project execution effect.

This invention relates to the field of breeding technology, specifically to a seed cutting and parent-sample corresponding collection and coding system, including a motion control system, a counter, and a cutting completion signal module. The motion control system is electrically connected to a first motion module and a second motion module. The first motion module supports the sample box, and the second motion module supports the collection box, with the first cell position directly below the initial collection position. The counter value is set to N, with an initial value of 1. Each time a drive command is generated based on the cutting completion signal, the counter value N increases by 1. This invention, by setting a synchronous motion control system and a counter, achieves synchronous linkage drive and precise position coding of the sample box and the parent-sample collection box, achieving the technical effect that after a successful cutting, the sample and parent-sample automatically fall into the same sequence number physical cell. Furthermore, by integrating a database and dynamically associating it with the counter sequence number, it achieves the technical effect of establishing a traceable electronic archive.

A device and a method for collecting, analyzing and integrating log data of an in-vehicle infotainment (IVI) system are disclosed. The method for collecting, analyzing and integrating log data of an IVI system includes identifying model information of a vehicle to be a target of digital forensics, hardware information and software information related to the IVI system of the vehicle, collecting target data for the digital forensics based on the model information, the hardware information and the software information, and storing the collected target data in an integrated database.

This application belongs to the field of digital twin basic data management technology. This application provides an automated method and apparatus for generating spatial identity codes for basic geographic entities. The embodiments of this disclosure acquire the geometric and classification information of basic geographic entities under a unified spatiotemporal reference, automatically calculate the minimum bounding rectangle / minimum outer cube, adaptively select the minimum grid level that can contain the geometric range, and generate two-dimensional or three-dimensional location codes level by level according to the BeiDou grid location code rules. These are combined with classification codes and sequence codes to form a standard field; then, a proprietary identification field is formed by combining this field with root identifier codes and special codes, and extended fields are added as needed to achieve interaction with external codes. This can realize the automated generation, verification, parsing, and traceability of spatial identity codes in scenarios such as provincial, municipal, and county collaborative production updates, two-dimensional / three-dimensional integrated database construction, semantic association, and service publishing, providing unified support for the data organization and management of basic geographic entities and cross-industry interconnection.

This invention discloses an energy meter with self-identification of abnormal electricity consumption patterns and its intelligent mode switching method, belonging to the field of energy meter testing technology. The energy meter integrates a database configuration module, a cyclic sampling and monitoring module, a membership analysis module, and a mode switching evaluation module. The application method is as follows: configure an electricity consumption parameter database and an electricity consumption status database, storing electricity consumption parameter sample clusters categorized by scenario and warning sample feature values ​​categorized by pattern, respectively; generate a monitoring task input set by traversing all combinations of electricity consumption parameters through a cyclic sampling model, and obtain a real-time warning feature value set; calculate membership based on the maximum / minimum difference, match the optimal electricity consumption status sample cluster, and generate a switching link label; evaluate the mode switching conditions through the cumulative deviation value and trigger the warning. This invention solves the problems of poor adaptability and delayed response caused by the reliance on fixed thresholds for mode switching in traditional energy meters, and achieves accurate identification and proactive switching of abnormal modes in multiple scenarios.

Systems or methods of the present disclosure may provide a design tool for adjusting designs implemented on programmable logic devices. The present disclosure includes receiving one or more sources, like documentation, design files, constraints, design reports, source code, chat history, or any combination thereof. The present disclosure also includes identifying relevant relationships between related information across the one or more sources, creating attribution metadata to track lineage of information based on the relevant relationships, and continuously maintaining and updating a knowledge integration database using the attribution metadata. Furthermore, the present disclosure includes providing visualization of the knowledge integration database.

The invention belongs to the technical field of T / R assembly detection, and particularly provides an aviation radar T / R assembly comprehensive intelligent detection and fault positioning system which comprises a main control module, a radio frequency test module, a multi-channel radio frequency switching matrix, a precision test clamp, a programmable power supply management module, an intelligent diagnosis and fault positioning module and a comprehensive database module. And the main control module cooperates with each hardware module to complete automatic testing. The intelligent diagnosis and fault positioning module performs data interaction with the comprehensive database module, adopts a hierarchical diagnosis strategy and combines a closed-loop feedback mechanism to dynamically adjust a test scheme, and finally realizes accurate fault positioning from a component level to a component level. According to the method, the test efficiency and the troubleshooting speed of the T / R assembly are improved, accurate fault positioning is realized, the high-quality and high-efficiency test and guarantee requirements of modern aviation radar are met, and the problems existing in the existing T / R assembly detection technology are effectively solved.

An LLM-based intelligent warehouse management system according to an embodiment of the present invention comprises: a cloud server; an edge device for monitoring a work performance situation in real time; and an on-premise server that responds to an exceptional situation by using stored information when the exceptional situation occurs, wherein the cloud server comprises: an LLM service unit that receives an input of a work instruction in natural language from a manager client and interprets the input work instruction by using LLM; an integrated database unit for storing work data to consider a warehouse situation; an intelligent service unit for allocating work according to a work plan, wherein the LLM-based intelligent warehouse management system comprises an AMR for performing work while autonomously moving according to the allocated work.

The invention relates to the technical field of data integration, in particular to an internet information integration method and device and electronic equipment. The method comprises the following steps: preprocessing Internet multi-source information; performing data analysis and structuring on the Internet multi-source information to obtain a standardized data model; constructing a multi-source evaluation model based on the standardized data model to evaluate the credibility of the Internet multi-source information; performing information fusion and conflict resolution on the Internet multi-source information based on the comprehensive credibility score; and constructing an integrated database based on the Internet multi-source information after information fusion and conflict resolution. According to the invention, by constructing a multi-source acquisition engine, a heterogeneous analyzer, a credibility evaluation matrix and an intelligent fusion engine, automatic, structured and credible integration of enterprise-related internet information is realized.

We provide a system that allows users to easily and quickly obtain the information they need, eliminating redundant work and waste within the company. [Solution] A system comprising: means for periodically collecting data from various internal data sources; means for converting the collected data into an appropriate format and storing it in an integrated database; means for users to input questions in chat format via a terminal; means for analyzing the received questions using natural language processing and generating search queries; means for obtaining relevant information from the integrated database based on the generated search queries; means for generating answers using generative artificial intelligence based on the obtained information; and means for sending and displaying the generated answers on the user's terminal.

The application discloses a kind of visual straw utilization characteristic analysis method and system, belong to soil carbon emission field, the method includes: collection soil physical and chemical property data and the characteristic data of different types of rotten straw, and the data collected are preprocessed, and integrated database is obtained by construction;The data in integrated database is processed by biological carbon utilization characteristic analysis model, simulates the dynamic process of soil carbon cycle after corresponding type of rotten straw is applied, obtains key variable data;According to the key variable data calculated, traverse the time series in integrated database, calculate carbon sequestration efficiency, microbial activity and physical protection intensity, obtain enhanced time series data, use enhanced time series data and key variable data as data source, and render to obtain visual diagram.The application improves the calculation accuracy and accuracy of soil carbon emission flux and accumulation.

This invention relates to the field of water resources data technology, specifically disclosing an automatic multi-source sensing construction system for integrated water resources databases. This system includes a multi-source sensing feature calculation module, a data link encryption and encapsulation module, a self-evolving heterogeneous topology reconstruction center module, a spatiotemporal semantic holographic fusion engine module, and a blockchain trust anchoring mechanism module. The invention calculates environmental fluctuation entropy and dynamically solves for the optimal sampling frequency using a logistic function. Based on the principle of electrochemical corrosion, it uses an exponential decay model to adjust the sensor calibration cycle according to real-time soil salinity, achieving adaptive adjustment of the sampling frequency to accurately capture transient features. It also provides automatic compensation for sensor drift in highly corrosive environments, significantly improving the spatiotemporal accuracy and reliability of long-term monitoring data. This overcomes the shortcomings of existing technologies that lack dynamic calibration compensation mechanisms in highly corrosive environments, leading to severe sensor zero-point drift, distortion of long-term monitoring data, and thus misleading decision-making.

The invention relates to the technical field of supersonic speed condensation phase change, in particular to a supersonic speed condensation phase change process in-situ online monitoring system and method.The supersonic speed condensation phase change process in-situ online monitoring system comprises a supersonic speed condensation generation device used for accelerating mixed gas containing condensable components to supersonic speed and generating condensation phase change; the first monitoring module is used for acquiring a liquid drop image in real time; the second monitoring module is used for monitoring process parameters of the mixed gas in real time; and the data acquisition and processing module is used for controlling the first monitoring module and the second monitoring module to perform synchronous data acquisition by adopting a unified time reference, and the data acquisition and processing module stores the acquired liquid drop images and the process parameters in the integrated database module in an associated manner so as to construct an association model between the liquid drop images and the process parameters. According to the device and the method, the liquid drop state can be continuously and visually monitored in real time in a complex supersonic flowing environment, and accurate and comprehensive data support is provided for deeply researching the condensation nucleation and liquid drop growth process in the supersonic condensation phase change process.

The application provides a user portrait label generation system, method and electronic equipment, wherein the system stores real-time data and batch data obtained according to the same data storage rule in an integrated database through the integrated database, generates user portrait label data based on the results of stream computing based on the real-time data and batch computing based on the batch data through a data computing module, and finally stores the user portrait label data in the integrated database according to the same data storage rule. In this way, the embodiment of the application is selected, and when batch generation of user portrait labels is required, source data for generating user portrait labels is directly obtained from the integrated database, the generation efficiency of user portrait label data is effectively guaranteed, and storage resources and computing resources are saved.

This invention discloses a big data platform for realizing the value of agricultural tourism ecological products at the district / county level. It adopts an MVVM architecture, with the backend developed based on .NET and the frontend using Vue, HTML5, CSS3, and integrated Echarts. The database uses PostgreSQL with PostGIS, relying on ArcGIS Server for GIS services and implementing map integration through the ArcGIS API for JavaScript. The platform incorporates core accounting models for GEP (Gross Ecological Product) total value, water conservation, and ecological vouchers, including agricultural tourism ecological product surveys, ecological product value calculation, automatic value calculation, ecological voucher agricultural tourism value conversion, database updates, and user management. The platform enables visualization of various agricultural tourism ecological data charts, display of resource survey map data, and GIS spatial statistics of value and functional quantities. It supports multi-scope calculations for administrative regions, scenic areas, and custom areas, and can perform comparisons of two phases of land use data and visualized calculations of ecological vouchers. It also features ecological data year management, editing and updating, and user hierarchical permission control functions. This platform improves the standardization and intelligence of agricultural tourism ecological value management at the district / county level.

The application discloses an indirect air cooling system operation regulation method considering both freezing prevention and economy, which comprises the following steps: firstly, preprocessing and DBSCAN clustering analysis are performed on historical operation data, and a corresponding relationship among load, environmental conditions, circulating water flow and back pressure is determined by combining a steam turbine variable working condition calculation model, a condenser heat balance model and an air cooling tower theoretical calculation model; secondly, the best back pressure value in the whole working condition domain is solved according to a best back pressure calculation model; further, the integrated database is normalized, and a best back pressure prediction model and a louver opening degree combination prediction model are constructed based on an integrated learning algorithm of Bayesian optimization; and finally, the best operation back pressure of the indirect air cooling unit is predicted according to real-time data, and the best louver opening degree combination considering both freezing prevention and economy is further predicted. The method can realize the collaborative optimization of the economy and safety of the cold end system, significantly improve the operation efficiency and freezing prevention capacity of the indirect air cooling system, and has important engineering application value.

The invention discloses a BIM project amount and quota matching cost integrated calculation method and system, and belongs to the technical field of cost calculation. The method comprises the following steps: establishing an integrated database integrating list quota, market price and unit carbon emission factors, establishing an intelligent matching rule of BIM component characteristic parameters and list items, generating a dynamic mapping relation, extracting component engineering quantity, and associating and integrating unit price and carbon emission factors; by introducing external parameters such as a carbon transaction price and a green building material standard, incremental costs such as a carbon transaction cost, a green premium and an energy-saving profit net present value are accurately calculated; and finally generating a comprehensive cost prediction report integrating the conventional construction and installation cost and the incremental cost. According to the method, automatic and integrated prediction of the cost and the carbon emission is realized, the calculation efficiency and the decision support capability are improved, and a key technical support is provided for economic evaluation of green buildings.

The invention discloses an integrated database about the whole process of LNP design, preparation and application and a construction method, and the integrated database comprises a physical property parameter data set which represents raw material substances suitable for LNP preparation, and each piece of physical property parameter data corresponds to one raw material substance; the technological parameter data set represents technological parameters in the LNP preparation process, and each kind of technological parameter data comprises a plurality of technological parameters with different numerical values; the formula composition data set comprises multiple pieces of formula composition data, and each piece of formula composition data comprises multiple pieces of different physical property parameter data and multiple pieces of process parameter data; and a delivery efficiency data set including a plurality of delivery efficiency data, each delivery efficiency data corresponding to one recipe composition data. According to the method, parameters involved in the whole process of design-preparation-application of the LNP system are integrated, all variables influencing the LNP performance are converted into numerical value type characteristic parameters, subsequent high-throughput condition screening and data mining are facilitated, and automatic transformation of the LNP preparation process and LNP performance optimization can be greatly promoted.

We provide the system. [Solution] A means of collecting information from multiple financial accounts and storing it in an integrated database, A means of analyzing collected data and recognizing spending patterns, A means of proposing the optimal savings and investment plan to the user based on the analysis results, A means of simulating the risks and returns of potential investments, An artificial intelligence chatbot that automatically generates answers to user questions, A means of evaluating the user's progress toward achieving their goals and providing feedback, A system that includes this.

The present invention relates to an AI-based dialysis blood vessel replacement cycle prediction method for predicting a replacement cycle of a dialysis blood vessel, the method comprising: a data collection step (S10) of collecting a patient's electronic medical record (EMR) information and operation management system (OCS) information data, storing same in an integrated DB, recognizing, in real time, main data displayed on a dialyzer screen by using OCR technology, and storing the corresponding data in the integrated DB; a training data generation step (S20) of generating data by normalizing the data collected in the data collection step (10) in a form suitable for training a prediction model; a training step (S30) of training the prediction model; a data analysis step (S40) of determining statistical characteristics and patterns suitable for predicting the replacement cycle of the dialysis blood vessel; a risk level evaluation step (S50) of setting a threshold value and sequentially applying risk level evaluation models 1, 2, and 3 to evaluate, in a stepwise manner, the necessity for replacement; a prediction step (S60) of calculating a time point at which a main data item reaches a threshold level to predict a time point at which replacement is likely to be required; and an output step (S70) of classifying an output on the basis of a result of the prediction step (S60), visualizing the classified output, and providing the visualized output to medical staff.

The application discloses a cross-domain heterogeneous data compliance auditing and repairing method, comprising at least one data type integrated database, a data processor management terminal in communication with the data type integrated database, and a graph neural network auditing and repairing algorithm arranged on the data processor management terminal; the method integrates cross-domain heterogeneous data through the data type integrated database, inputs the obtained cross-domain heterogeneous data type into the calculated graph neural network auditing and repairing algorithm for auditing and repairing statistics, so as to obtain the number of structured and unstructured form auditing and repairing labels corresponding to the cross-domain heterogeneous data; when the number of labels exceeds a preset character length, a compliance processing signal is output, and the number of cross-domain heterogeneous data and the corresponding structured and unstructured form are automatically audited and repaired, thereby improving the accuracy and efficiency of auditing and repairing the cross-domain heterogeneous data.